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| 摘要: |
| 针对复杂工业过程中存在的一类模型不确定问题,提出了一种新的鲁棒比例积分微分(PID)控制器参数整定方法。通过对优化目标的分析,将鲁棒PID控制器的参数整定问题转化成一个求解最小-最大优化问题,并引入合作进化粒子群优化算法对该最小-最大优化问题进行求解。针对实例的仿真结果表明,利用该方法整定得到的鲁棒PID控制器具有良好的鲁棒性,提高了性能指标,当过程对象操作范围发生大的变化时,该控制器能获得满意的结果。 |
| 关键词: 粒子群优化,最小-最大原理,PID控制器,参数整定 |
| DOI： |
| 分类号:TP273 |
| 基金项目: |
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| Parameter tuning of robust PID controller |
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XU Zhi-cheng
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| Abstract: |
| Aiming at uncertainties of the model in complex industry processes,a method of parameter tuning for robust PID(Proportional-Integral-Derivative) controller is presented.Based on the analysis of optimization objective,the parameter tuning of the robust PID controller is converted into the minimum-maximum optimization,for which a co-evolutionary algorithm based on the PSO(Particle Swarm Optimization) is introduced to get its solution.Case simulations show that the PID controller tuned by the method has better robustness and improved performance during wide operational range change of process. |
| Key words: particle swarm optimization,minimum-maximum,PID controller,parameter tuning |
